<p>We are looking for an experienced Senior Data Engineer to join our team in Boston, Massachusetts. In this role, you will be responsible for designing and building a robust data platform from the ground up, playing a pivotal part in shaping the data strategy and supporting AI-driven initiatives. This is a unique opportunity to contribute to the creation of a new data engineering function within a dynamic financial services environment. This role is hybrid, onsite in Boston 3 days a week. </p><p><br></p><p>Responsibilities:</p><p>• Design, develop, and implement a scalable data platform using Microsoft Fabric and other technologies within the Microsoft ecosystem.</p><p>• Collaborate with stakeholders to define the data strategy and implement solutions that align with business goals.</p><p>• Oversee and manage external consultants assisting with the development of the data platform.</p><p>• Support AI enablement initiatives by ensuring the data architecture meets analytical and operational needs.</p><p>• Create and maintain ETL processes to ensure efficient data extraction, transformation, and loading.</p><p>• Optimize database performance across SQL, NoSQL, and other database systems.</p><p>• Utilize Python for data engineering tasks, including scripting and automation.</p><p>• Work closely with IT and analytics teams to ensure seamless integration of the data platform into existing systems.</p><p>• Provide technical leadership and guidance while exploring future opportunities to build and expand the data engineering function.</p><p>• Ensure compliance with industry standards and best practices in data security and management.</p>

<p>• 5-7 years of experience in data engineering or a related field.</p><p>• Proven expertise in building data platforms, with hands-on experience using Microsoft Fabric.</p><p>• Strong knowledge of database systems, including SQL, NoSQL, Azure SQL Database, MySQL, and PostgreSQL.</p><p>• Proficiency in Python and its application in data engineering processes.</p><p>• Experience with data architecture and ETL processes.</p><p>• Familiarity with Azure tools such as Data Factory, Data Lake, and Databricks.</p><p>• Background in financial services is preferred, though not required.</p><p>• Excellent communication skills and ability to work collaboratively in a hybrid environment.</p>

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